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The writer must have a foundational understanding of statistical analysis, particularly two-sample t-tests, to critically evaluate mean differences, standard deviations, and sample sizes in clinical data. GEA #2: Comparing Numeric Data (Please Use Equations in the lecture slides (Starts on pg. 109) & Follow this Guide). This homework will be used to assess if you can critically Interpret quantitative evidence (such as graphs, tables, charts) in order to identify false claims, incorrect use of evidence, or contradictory statements. The manufacturer of a decongestant A shows a graph on its outer packaging that indicates patients that took their product had relief from sinus congestion faster than those that took decongestant B (decongestant B is made by a different manufacturer). They provided the following table. Decongestant Mean time until Relief Reported by Patient (hours) A 6 B 7 Given your science decision making background, you immediately recognize that a mean value for each decongestant is not enough information to make a scientifically sound decision regarding which drug provided relief faster. So, you search the scientific literature for peer reviewed studies that may provide more information. None are found which is often the case for commercial companies as they keep their data as confidential as possible. However, you go to www.clinicaltrials.gov to an external site. to get more information about this clinical trial that yielded the data. You obtain the following information from this government-run website for all clinical trials. You find the following data. Decongestant Mean time until Relief Reported by Patient (hours) Standard Deviation (hours) Number of patients A 5 2.6 20 B 7.2 2.9 20 Please describe how you would use this information to determine if there is any difference between the mean time until relief for the drugs in this clinical trial. Then, use the information to determine if there is a difference and what are the limitations of the method that you chose. Please comment on whether the packaging of decongestant A is truthful or not. You happen to pick up a package of decongestant B. This package makes a claim that decongestant B provides faster relief than decongestant A and they provide the following information that is referenced to their clinical trial at www.clinicaltrails.gov Decongestant Mean time until Relief Reported by Patient (hours) Standard Deviation (hours) Number of patients A 6 3.1 100 B 5 2.9 100 Please describe how you would use this information to determine if there is any difference between the mean time until relief the drugs in this clinical trial. Then, use the information to determine if there is a difference and what are the limitations of the method that you chose. Please comment on whether or not the packaging of decongestant B is truthful or not. Please comment on which drug you think provides faster relief and the rationale for your decision. Please respond to A, B, and C in paragraph form using proper grammar, spelling, and sentence structure. Format: 1) Title page 2) Your responses (2 pages of “responses” maximum, single-spaced)

PSA : DO NOT USE ai it will be checked Discussion Board Post (300 words minimum) Please complete in class: 1. Write a discussion board post outlining how AI can transform healthcare. 2. Identify a specific issue or challenge within the healthcare industry that AI can help address. 3. Provide an example of an AI system or technology that can be used to assist in solving the identified problem. 4. Support your arguments with references to at least three scholarly articles on AI in healthcare. Make sure to cite them properly. Commenting on Peers' Posts (200 words each, total of 3 comments for full credit) Please complete before the due date listed for this assignment: 1. Respond directly underneath the posts of three other students. 2. Provide constructive feedback or additional insights related to their discussion. 3. Support your comments with references to at least one scholarly article that supplements or reinforces the points made by your peers. Grading Rubric: Original Post (300 words): Clear articulation of how AI can impact healthcare (25 points) Identification and explanation of a specific healthcare problem that AI can address (15 points) Example of an AI system or technology relevant to the identified problem (15 points) Proper citation and integration of three scholarly articles (15 points) Comments on Peers' Posts (200 words each, total of 3 comments): (30 total points) Relevance and insightfulness of comments (20 points each) Appropriateness of scholarly references (10 points each) PEER POST TO COMMENT ON 1. BY :Marykate Pierre Ai in my opinion can transform healthcare exponentially. Ai can improve accuracy with diagnosing and improve efficiency within patients and improve accessibility around the world. There have been many instances where patients have been mis diagnosed that led to treatment that didn't improve the real condition they were in. Instead of this happening ai can analyze like genetics, lifestyle, and medical history within minutes. This allows for a much earlier intervention and diagnosis. A specific healthcare issue AI can address is cancer detection. There have been multiple cases of people who come in not knowing they have cancer. They often think problems that arise in their life that are cancer related. With ai it can early detect it. According to DR Kachaamy "Dr. Kachaamy has embraced AI, including a tool called GI Genius®, a companion program he runs during a colonoscopy. GI Genius uses information inputted from thousands of previous procedures to point him to potential areas of concern in the colon. From there, Dr. Kachaamy can determine if that are requires further investigation. This has been an excellent addition to our cancer-fighting arsenal,”(city of hope, 2024) A doctor that diagnoses stages of colon cancer uses AI to predict better treatment outcomes. It has this amazing ability to analyze large data sets , find correlations difficult to identify by current methods and analyze genetic mutations This allows AI to help doctors make sure treatment protocols are tailored to specific patients while minimizing risk of side effects and avoiding treatments that may be ineffective. Another way ai is improving cancer is its treatment. There have been multiple studies that show ai is being used to develop new treatments for cancer in a more efficient and faster way. With these new ways researchers can come up with many more plans to treat patients in new ways. "AI is being used in many ways to develop new treatments for cancer through novel approaches to drug discovery and design, drug repurposing, and predicting patient responses to treatment. NCI researchers and their colleagues have employed AI to help predict how immune cells called T cells will respond to tumors. They used machine learning to find patterns within a large volume of human and mouse T-cell activation data and predict T-cell behavior with the aim of improving immunotherapies." This can cut time in half for researchers so that they can figure more solutions for other diseases cutting time in half for them. Another tool ai has is robotic surgery.a robotic surgery system that offers a minimally invasive alternative to both open surgery and laparoscopy. Because robotic surgery, or robot-assisted surgery, requires only a few tiny incisions and offers greater vision, precision and control for the surgeon, patients often recover sooner, move on to additional treatments if needed, and get back to daily life quicker. There have been many proven benefits to robotic surgery some examples are "Reduced pain, Lower risk of infection or complications, Less blood loss (fewer transfusions), Shorter hospital stays Less scarring due to smaller incisions" (Marie marksman, md 2022) 2. BY : Mardoche Myotte The Transformative Potential of AI in Healthcare Artificial Intelligence (AI) is rapidly emerging as a transformative force in healthcare offering significant opportunities to enhance the quality, accessibility, and efficiency of services. By leveraging machine learning, natural language processing, and data analytics, AI has the potential to solve several long-standing challenges within the healthcare system, ranging from improving diagnostic accuracy to enhancing operational efficiency. One critical area where AI is already making substantial progress is in addressing the challenge of diagnostic errors, particularly in radiology. AI and Diagnostic Errors in Healthcare Diagnostic errors represent a major challenge in healthcare, contributing to significant morbidity, mortality, and unnecessary treatments. Studies suggest that diagnostic errors account for a substantial proportion of medical errors, leading to delayed or incorrect treatment (Singh et al., 2019). This issue is particularly pronounced in fields such as radiology, where human error can result in overlooked conditions such as cancers or fractures. AI technologies have the potential to alleviate this problem by improving the speed and accuracy of diagnostic processes. AI Technology: Computer-Aided Diagnosis (CAD) Systems one notable AI system that can help address diagnostic errors in radiology is the computer-Aided Diagnosis (CAD) system. CAD uses machine learning algorithms trained on vast datasets of medical images to assist radiologists in detecting anomalies such as tumors, lesions, or fractures. These systems analyze medical images like X-rays, CT scans, and MRIs and highlight potential areas of concern for further examination by a healthcare professional. For example, a deep learning-based AI model called “DeepRadiology” has shown promise in detecting various types of cancers, including breast cancer, by analyzing mammogram images with remarkable accuracy. Research by Estela et al. (2019) demonstrated that AI systems can match or even exceed the diagnostic performance of expert radiologists, suggesting that AI may reduce human error in diagnostics, leading to better patient outcomes. Supporting Arguments from Scholarly Articles 1. Improving Diagnostic Accuracy: A study by Choi et al. (2020) discusses how AI-based systems, particularly deep learning models, can improve the accuracy of medical diagnoses, especially in radiology. Their research shows that AI can analyze medical imaging with a high degree of precision, enabling more accurate and timely diagnoses, which could significantly reduce diagnostic errors. In Conclusion AI technologies are poised to revolutionize healthcare by addressing critical issues such as diagnostic errors, particularly in radiology. AI systems like CAD can enhance diagnostic accuracy, improve operational efficiency, and reduce human error, ultimately contributing to better patient care. As these technologies continue to advance, they will likely play an increasingly central role in transforming the healthcare landscape. 3. BY :Jada Walker Electronic and digital healthcare is on an incline and aims to transform healthcare in many ways. Artificial intelligence simplified is computer technology that imitates human behaviors like communication, reasoning, decision making, and learning. Implementation of these technological advancements in healthcare reduce time consuming tasks, and solve some challenges health professionals face within the industry. Artificial intelligence or machine and deep learning is used to examine and analyze large amounts of data. These include the patient's results and symptoms, identifying patterns and making predictions on nursing diagnoses. With these predictions the decision making process is reduced making more accurate and efficient healthcare outcomes. “AI algorithms reading and analyzing medical images like X-rays and MRI to quickly and more accurately identify early stages of diseases the human eye could miss” (Bulck, Couturier & Moons, 2023). Artificial intelligence is used in nursing to improve work load, enhance patient care, and efficient healthcare outcomes all while lowering costs. The implementation of AI in nursing has so far shown the benefits of information technology such as accurate diagnosis, identification of change in patient conditions, easier care coordination and communication. Some issues that health professionals come across are dealing with time consuming tasks that take away from hands-on patient care, and medication errors. These problems can be alleviated using AI technology such as Nuance and Curate.AI. The Nuance Dragon Ambient eXperience(DAX) saves time that would usually be spent on manual documentation of patient visits, while also improving workflow by recording and translating clinical notes directly from health professionals. “Natural language processing technology can automate administrative tasks such as documenting in EHR and optimizing clinical workflow, enabling clinicians to focus more time on caring for patients”(Bajwa, Munir, Nori & Williams, 2021). Therapeutic drug monitoring makes sure the patient receives the correct medication at the right dose within the right time frame. In order to reduce medication errors, incorporating AI systems such as Curate.AI can be used. “Leveraging AI algorithms can optimize medication dosages tailored to individual patients and predict potential adverse drug events”( Alowais, Alghamdi & Alsuhebany, 2023).

this assignment, you will be using studystack.com Links to an external site.to create a set of flashcards. You will be doing this type of assignment twice this semester- once halfway through the course, and once before the final. Instructions: 1. Go to studystack.com (click here!)Links to an external site. 2. Follow the instructions for how to use the tool in the video below 3. Create a studystack of at least 10 Flashcards (you may create more if you wish) using the criteria below: StudyStack 1: Choose content covered in weeks 1-5. Create a separate studystack for assignments 1 and 2 (one set is at the midterm point, one set is before the final). You may do question/answer flashcards, term/definition, a fill in the blank phrase (custom), or a mix. 4. Copy the website URL of your finished stack (see the video for more info) and submit that as your finished product. Note: To ensure your instructor can see your stack, be sure you are following the final step in the video (at the 2:44 mark): click on Slides>then Flashcards>then paste that link. It should look similar to this screenshot below, with the number assigned to your specific stack and "flashcard-" in the URL. *If you wish, you may also contribute it to your Course Cafe found in the Course Resources Module for other learners to review!* How-to Instructional Video: Rubric Study Stack_SCI220 Study Stack_SCI220 Criteria Ratings Pts This criterion is linked to a Learning OutcomeDepthProject must display work that is considered useful for future study; depth and rigor is present in the scope of the study stack, questions asked are appropriate to the content, and answers provided are correct. 5 pts Exemplary Meets all guidelines with no errors. 4 pts Accomplished Meets all guidelines; contains minor errors. 3 pts Acceptable Meets some of the guidelines; contains major errors. 2 pts Inadequate Does not meet the guidelines. 0 pts No Submission 5 pts This criterion is linked to a Learning OutcomeCompletionProject contains the required minimum number of flashcards, as defined in the assignment description. Spelling, punctuation, and grammar are correct. 5 pts Exemplary Meets all guidelines with no errors. 4 pts Accomplished Meets all guidelines; contains minor errors. 3 pts Acceptable Meets some of the guidelines; contains major errors. 2 pts Inadequate Does not meet the guidelines. 0 pts No Submission 5 pts Total Points: 10 https://www.studystack.com/PreviousNext

Detail the different types of ABC data collection methods you have utilized before, and which specific forms or methods have been most effective. Then, explain how ABC data collection can be ineffective, giving an example if you have one. Lastly, compare the process you've taken before in collecting ABC data with the process of collecting ABC data in this module. Conduct assessments of relevant skill strengths and deficits, interpret graphed data, and communicate relevant qualitative relations.Your initial post should be a minimum of 200 words in length, and your responses to two peers should be roughly100 words each. Cite sources you reference in-text and under a “References” section in APA format.

I will prove a lab report from a classmate, it should be like that, but with my data, I can also provide a sample detailed lab report. And the lab information Lab Report Your lab report should include the following: ???A table containing your raw data (absorbance vs time for each trial). ???A plot of absorbance vs time for each trial. It is convenient to express time in units of minutes rather than seconds. ???An explanation of how the observed rate of reaction was obtained from the plots of absorbance vs time. ???The details (including any data plots) for your determination of the order of the reaction with respect to H' ion and acetone, and how your experimental orders were rounded off to integer values for the reaction orders. ???The average value and 95% confidence limits for k, the rate constant for the reaction, including correct units, along with an explanation of how these results were obtained. ???You do not need to compare your experimental results (reaction orders and rate constant) with literature values. References 1. A general discussion of chemical kinetics is given in Chapters 20 of P. W. Atkins, J. de Paula Phusical Chemistry, Tenth Edition, (Freeman, New York, 2014). ???Atkins and de Paula, p. 825. ???This is done because mechanisms for simple reactions almost always predict integer values for reaction The non-integer values observed experimentally are assumed to be due to error in the determination of the reaction orders. Revised

Submit PowerPoint Assignment in PDF. Required at least 15-20 slides of main content (not including title slide and reference slide). Follow APA Format criteria for PowerPoints. Please make sure to read the instructions in the RESEARCH REPORT folder !FNU CRUZ-ESPAILLAT - APA 7th edition - Read-Only(1)(1).pdf

Hypothesis Type the objective in your own words. Data and Results Type up your data values and results in Excel. Paste a copy of the results here. Discussion 1.Provide a full discussion following the guidelines. 2.In your own words, briefly describe the procedures for this laboratory experiment. 1-2 sentences 3.Were the results reasonable? Were any of the results unexpected? Answer this question using complete sentences.

Hypothesis Type the objective in your own words. Data and Results Type up your data values and results in Excel. Paste a copy of the results here. Discussion 1. Provide a full discussion following the guidelines. 2. In your own words, briefly describe the procedures for this laboratory experiment. 1-2 sentences 3. Were the results reasonable? Were any of the results unexpected? Answer this question using complete sentences.

I need an Excel made for my lab experiment and to calculate concentration from the data I have. I have the data and the experiment instructions as well if any information from that is needed. I also hab=ve my lab worksheet that needs to be filled in.

Hi! I need some help with my post-lab report. The pre-lab is done and I have all of the data. Post Lab Report EXPERIMENT REPORT DATA AND OBSERVATIONS In your notebook, record the weights of each of your reagents, and any other qualitative observations that occurred during the solution preparation or titrations. CALCULATIONS : Calculate the molarity of your primary standard KIO3 For each standardization titration determine the moles of IO3 - that you titrated, the moles of I3 - that were generated from the KIO3 , and the moles of Na2 S2 O3 that were added to reach the end point. Calculate the molar concentration of Na2 S2 O3 for each titration and the average molar concentration of Na2 S2 O3 solution? For each titration of the vitamin C sample calculate the moles of S2 O3 -2 that were used, the moles of vitamin C in each sample, the weight of vitamin C in each sample, and the percentage of vitamin C in each sample. DISCUSSION : Calculate the average percent of ascorbic acid, C6 H8 O6 in the “tablet.” Calculate the percent relative average deviation in your sodium thiosulfate titrations and in your Vitamin C titrations. Calculate the inherent error in the percentage of ascorbic acid you determined in the tablet. Compare the sum of the relative average deviations with the inherent error. Does your error account for any “impurities” in the vitamin C tablet? If not, why not? CONCLUSION : Summarize your results. Comment on the “purity” you determined and the manufacturer’s label as to the ingredients in a Vitamin C tablet. A PPLICATIONS : Based on the observations and experiment that you carried out explain why cooked fruits and vegetables have a lower vitamin C content than fresh fruits and vegetables. Six ounces (1 fl. oz. = 29.57 mL) of a well–known vegetable juice contains 35% of the recommended daily allowance of vitamin C (equal to 60 mg). How many milliliters of the vegetable juice will provide 100% of the recommended daily allowance?